TSTP Solution File: GRP578-1 by GKC---0.8
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- Process Solution
%------------------------------------------------------------------------------
% File : GKC---0.8
% Problem : GRP578-1 : TPTP v8.1.2. Released v2.6.0.
% Transfm : none
% Format : tptp:raw
% Command : gkc %s
% Computer : n009.cluster.edu
% Model : x86_64 x86_64
% CPU : Intel(R) Xeon(R) CPU E5-2620 v4 2.10GHz
% Memory : 8042.1875MB
% OS : Linux 3.10.0-693.el7.x86_64
% CPULimit : 300s
% WCLimit : 300s
% DateTime : Thu Aug 31 00:54:50 EDT 2023
% Result : Unsatisfiable 0.18s 0.42s
% Output : CNFRefutation 0.18s
% Verified :
% SZS Type : ERROR: Analysing output (Could not find formula named identity)
% Comments :
%------------------------------------------------------------------------------
cnf('1',plain,
identity = double_divide(X,inverse(X)),
inference(cnf_transformation,[],[identity]) ).
cnf('2',plain,
double_divide(double_divide(X0,double_divide(double_divide(double_divide(X1,X0),X2),double_divide(X1,identity))),double_divide(identity,identity)) = X2,
inference(cnf_transformation,[],[single_axiom]) ).
cnf('3',plain,
inverse(X) = double_divide(X,identity),
inference(cnf_transformation,[],[inverse]) ).
cnf('4',plain,
double_divide(double_divide(X,double_divide(double_divide(double_divide(Y,X),Z),inverse(Y))),inverse(identity)) = Z,
inference(simplify,[then_simplify],['2','3','3']) ).
cnf('5',plain,
double_divide(double_divide(inverse(X),double_divide(double_divide(identity,Y),inverse(X))),inverse(identity)) = Y,
inference(paramodulation,[],['1','4']) ).
cnf('6',plain,
double_divide(double_divide(inverse(double_divide(identity,X3)),identity),inverse(identity)) = X3,
inference(paramodulation,[],['1','5']) ).
cnf('7',plain,
multiply(X0,X1) = double_divide(double_divide(X1,X0),identity),
inference(cnf_transformation,[],[multiply]) ).
cnf('8',plain,
multiply(X,Y) = inverse(double_divide(Y,X)),
inference(simplify,[],['7','3']) ).
cnf('9',plain,
identity = double_divide(double_divide(X,Y),multiply(Y,X)),
inference(paramodulation,[],['8','1']) ).
cnf('10',plain,
double_divide(double_divide(X,double_divide(identity,inverse(Y))),inverse(identity)) = multiply(X,Y),
inference(paramodulation,[],['9','4']) ).
cnf('11',plain,
double_divide(double_divide(X3,identity),inverse(identity)) = multiply(X3,identity),
inference(paramodulation,[],['1','10']) ).
cnf('12',plain,
double_divide(inverse(X),inverse(identity)) = multiply(X,identity),
inference(simplify,[],['11','3']) ).
cnf('13',plain,
multiply(multiply(X,identity),identity) = X,
inference(simplify,[then_simplify],['6','8','3','12']) ).
cnf('14',plain,
double_divide(multiply(X,Y),inverse(identity)) = multiply(double_divide(Y,X),identity),
inference(paramodulation,[],['8','12']) ).
cnf('15',plain,
double_divide(X,inverse(identity)) = multiply(double_divide(identity,multiply(X,identity)),identity),
inference(paramodulation,[],['13','14']) ).
cnf('16',plain,
identity = multiply(double_divide(identity,multiply(identity,identity)),identity),
inference(paramodulation,[],['1','15']) ).
cnf('17',plain,
multiply(identity,X) = inverse(inverse(X)),
inference(paramodulation,[],['3','8']) ).
cnf('18',plain,
identity = multiply(double_divide(identity,inverse(inverse(identity))),identity),
inference(simplify,[],['16','17']) ).
cnf('19',plain,
multiply(identity,identity) = double_divide(identity,inverse(inverse(identity))),
inference(paramodulation,[],['18','13']) ).
cnf('20',plain,
inverse(inverse(identity)) = double_divide(identity,inverse(inverse(identity))),
inference(simplify,[],['19','17']) ).
cnf('21',plain,
multiply(double_divide(X,inverse(identity)),identity) = double_divide(identity,multiply(X,identity)),
inference(paramodulation,[],['15','13']) ).
cnf('22',plain,
multiply(multiply(X3,identity),identity) = double_divide(identity,multiply(inverse(X3),identity)),
inference(paramodulation,[],['12','21']) ).
cnf('23',plain,
X = double_divide(identity,multiply(inverse(X),identity)),
inference(simplify,[],['22','13']) ).
cnf('24',plain,
double_divide(double_divide(X,double_divide(identity,multiply(Y,Z))),inverse(identity)) = multiply(X,double_divide(Z,Y)),
inference(paramodulation,[],['8','10']) ).
cnf('25',plain,
double_divide(double_divide(X,Y),inverse(identity)) = multiply(X,double_divide(identity,inverse(Y))),
inference(paramodulation,[],['23','24']) ).
cnf('26',plain,
double_divide(identity,inverse(identity)) = multiply(X3,double_divide(identity,inverse(inverse(X3)))),
inference(paramodulation,[],['1','25']) ).
cnf('27',plain,
identity = multiply(X,double_divide(identity,inverse(inverse(X)))),
inference(simplify,[],['26','1']) ).
cnf('28',plain,
identity = multiply(identity,inverse(inverse(identity))),
inference(paramodulation,[],['20','27']) ).
cnf('29',plain,
identity = inverse(double_divide(identity,double_divide(identity,inverse(inverse(identity))))),
inference(paramodulation,[],['18','8']) ).
cnf('30',plain,
identity = inverse(inverse(inverse(identity))),
inference(simplify,[then_simplify],['29','20','20']) ).
cnf('31',plain,
identity = inverse(identity),
inference(simplify,[then_simplify],['28','17','30']) ).
cnf('32',plain,
double_divide(inverse(X3),identity) = multiply(X3,identity),
inference(paramodulation,[],['31','12']) ).
cnf('33',plain,
inverse(inverse(X)) = multiply(X,identity),
inference(simplify,[],['32','3']) ).
cnf('34',plain,
inverse(inverse(multiply(X3,identity))) = X3,
inference(paramodulation,[],['33','13']) ).
cnf('35',plain,
inverse(inverse(inverse(inverse(X)))) = X,
inference(simplify,[],['34','33']) ).
cnf('36',plain,
X = double_divide(identity,inverse(inverse(inverse(X)))),
inference(paramodulation,[],['33','23']) ).
cnf('37',plain,
inverse(X) = double_divide(identity,X),
inference(paramodulation,[],['35','36']) ).
cnf('38',plain,
double_divide(double_divide(X3,double_divide(inverse(double_divide(Y3,X3)),inverse(Y3))),inverse(identity)) = identity,
inference(paramodulation,[],['3','4']) ).
cnf('39',plain,
double_divide(double_divide(X,double_divide(multiply(X,Y),inverse(Y))),inverse(identity)) = identity,
inference(simplify,[],['38','8']) ).
cnf('40',plain,
multiply(X3,double_divide(identity,inverse(double_divide(multiply(X3,Y3),inverse(Y3))))) = identity,
inference(paramodulation,[],['25','39']) ).
cnf('41',plain,
multiply(X,double_divide(identity,multiply(inverse(Y),multiply(X,Y)))) = identity,
inference(simplify,[],['40','8']) ).
cnf('42',plain,
multiply(X,inverse(multiply(inverse(Y),multiply(X,Y)))) = identity,
inference(paramodulation,[],['37','41']) ).
cnf('43',plain,
multiply(X3,inverse(multiply(identity,multiply(X3,identity)))) = identity,
inference(paramodulation,[],['31','42']) ).
cnf('44',plain,
multiply(X,inverse(X)) = identity,
inference(simplify,[then_simplify],['43','33','17','35']) ).
cnf('45',plain,
inverse(inverse(inverse(multiply(X,Y)))) = double_divide(Y,X),
inference(paramodulation,[],['8','35']) ).
cnf('46',plain,
inverse(inverse(inverse(identity))) = double_divide(inverse(X3),X3),
inference(paramodulation,[],['44','45']) ).
cnf('47',plain,
identity = double_divide(inverse(X),X),
inference(simplify,[then_simplify],['46','31','31','31']) ).
cnf('48',plain,
multiply(X3,double_divide(identity,inverse(double_divide(double_divide(double_divide(Y3,X3),Z3),inverse(Y3))))) = Z3,
inference(paramodulation,[],['25','4']) ).
cnf('49',plain,
multiply(X,double_divide(identity,multiply(inverse(Y),double_divide(double_divide(Y,X),Z)))) = Z,
inference(simplify,[],['48','8']) ).
cnf('50',plain,
multiply(identity,double_divide(identity,multiply(inverse(X3),double_divide(inverse(X3),Y3)))) = Y3,
inference(paramodulation,[],['3','49']) ).
cnf('51',plain,
inverse(multiply(multiply(inverse(X),double_divide(inverse(X),Y)),identity)) = Y,
inference(simplify,[then_simplify],['50','17','8']) ).
cnf('52',plain,
inverse(multiply(multiply(inverse(X3),identity),identity)) = X3,
inference(paramodulation,[],['47','51']) ).
cnf('53',plain,
inverse(inverse(X)) = X,
inference(simplify,[then_simplify],['52','33','33','35']) ).
cnf('54',plain,
multiply(identity,a2) != a2,
inference(cnf_transformation,[],[prove_these_axioms_2]) ).
cnf('55',plain,
inverse(inverse(a2)) != a2,
inference(paramodulation,[],['17','54']) ).
cnf('56',plain,
$false,
inference(paramodulation,[then_simplify],['53','35','55']) ).
%------------------------------------------------------------------------------
%----ORIGINAL SYSTEM OUTPUT
% 0.10/0.11 % Problem : GRP578-1 : TPTP v8.1.2. Released v2.6.0.
% 0.10/0.12 % Command : gkc %s
% 0.11/0.32 % Computer : n009.cluster.edu
% 0.11/0.32 % Model : x86_64 x86_64
% 0.11/0.32 % CPU : Intel(R) Xeon(R) CPU E5-2620 v4 @ 2.10GHz
% 0.11/0.32 % Memory : 8042.1875MB
% 0.11/0.32 % OS : Linux 3.10.0-693.el7.x86_64
% 0.11/0.32 % CPULimit : 300
% 0.11/0.32 % WCLimit : 300
% 0.11/0.32 % DateTime : Mon Aug 28 23:35:05 EDT 2023
% 0.11/0.33 % CPUTime :
% 0.11/0.37
% 0.11/0.37 input clause set summed statistics:
% 0.11/0.37 ----------------------------------
% 0.11/0.37 in_clause_count: 5
% 0.11/0.37 in_rule_clause_count: 5
% 0.11/0.37 in_fact_clause_count: 0
% 0.11/0.37 in_answer_clause_count: 0
% 0.11/0.37 in_ground_clause_count: 1
% 0.11/0.37 in_unit_clause_count: 5
% 0.11/0.37 in_horn_clause_count: 5
% 0.11/0.37 in_pos_clause_count: 4
% 0.11/0.37 in_neg_clause_count: 1
% 0.11/0.37 in_poseq_clause_count: 4
% 0.11/0.37 in_negeq_clause_count: 1
% 0.11/0.37 in_unitposeq_clause_count: 4
% 0.11/0.37 in_chain_clause_count: 0
% 0.11/0.37 in_min_length: 1
% 0.11/0.37 in_max_length: 1
% 0.11/0.37 in_min_depth: 2
% 0.11/0.37 in_max_depth: 6
% 0.11/0.37 in_min_size: 5
% 0.11/0.37 in_max_size: 17
% 0.11/0.37 in_min_vars: 0
% 0.11/0.37 in_max_vars: 3
% 0.11/0.37 in_extaxiom_count: 0
% 0.11/0.37 in_axiom_count: 4
% 0.11/0.37 in_assumption_count: 0
% 0.11/0.37 in_goal_count: 1
% 0.11/0.37 in_neg_goal_count: 1
% 0.11/0.37 in_pos_goal_count: 0
% 0.11/0.37 in_posunit_goal_count: 0
% 0.11/0.37
% 0.11/0.37 auto guide:
% 0.11/0.37 -----------
% 0.11/0.37 {
% 0.11/0.37 "print":1,
% 0.11/0.37 "print_level": 15,
% 0.11/0.37 "max_size": 0,
% 0.11/0.37 "max_depth": 0,
% 0.11/0.37 "max_length": 0,
% 0.11/0.37 "max_dseconds": 0,
% 0.11/0.37 "runs":[
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
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% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit","prohibit_deep_para","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "rewrite":0},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20, "rewrite":0},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":2},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 0},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["query_focus"], "query_preference": 2},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.11/0.37 {"max_dseconds": 1, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4},
% 0.11/0.37
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":20, "repeat_var_weight":1, "depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 1, "weight_select_ratio":20,"depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 1},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "var_weight": 1, "weight_select_ratio":100, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 10, "strategy":["unit","prohibit_unordered_para"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":100},
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% 0.11/0.37 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "weight_select_ratio":20, "depth_penalty":50, "var_weight":1, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 0},
% 0.11/0.37 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 1},
% 0.11/0.37 {"max_dseconds": 1250, "strategy":["query_focus"], "query_preference": 2},
% 0.11/0.37 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 1, "reverse_clauselist": 1},
% 0.11/0.37 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 2},
% 0.11/0.37 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 4},
% 0.11/0.37 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 6},
% 0.11/0.37 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 8},
% 0.11/0.37 {"max_dseconds": 1250, "strategy":["unit"], "query_preference": 0, "max_depth": 10},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":10},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":15},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":20, "weight_select_ratio":2},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":40},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"var_weight":1, "repeat_var_weight":1},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"query_preference":0,"max_size":30,"depth_penalty":50},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"reverse_clauselist":1},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"query_preference":1,"depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100,"query_preference":0},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":1},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"weight_select_ratio":20},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit","prohibit_nested_para"],"var_weight":70,"repeat_var_weight":70,"depth_penalty":100},
% 0.11/0.37 {"max_dseconds": 1250,"strategy":["unit"],"var_weight":70,"repeat_var_weight":70,"query_preference":0,"max_depth": 4}
% 0.11/0.37
% 0.11/0.37 ]}
% 0.11/0.37
% 0.11/0.37
% 0.11/0.37 **** run 1 fork 0 starts with strategy
% 0.11/0.37 {"max_dseconds":1,"strategy":["unit"],"query_preference":1}
% 0.11/0.37
% 0.11/0.37 **** run 2 fork 1 starts with strategy
% 0.11/0.37 {"max_dseconds":1,"strategy":["unit"],"query_preference":0}
% 0.11/0.37
% 0.11/0.37 **** run 3 fork 2 starts with strategy
% 0.11/0.37 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.11/0.37
% 0.11/0.37 **** run 4 fork 3 starts with strategy
% 0.11/0.37 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20,"depth_penalty":100}
% 0.11/0.37
% 0.11/0.37 **** run 5 fork 4 starts with strategy
% 0.11/0.37 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":20,"repeat_var_weight":1,"depth_penalty":100}
% 0.11/0.37
% 0.11/0.37 **** run 6 fork 5 starts with strategy
% 0.11/0.37 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20}
% 0.11/0.37
% 0.11/0.37 **** run 7 fork 6 starts with strategy
% 0.11/0.37
% 0.11/0.37 **** run 8 fork 7 starts with strategy
% 0.11/0.37 {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"weight_select_ratio":20}
% 0.11/0.37 {"max_dseconds":1,"strategy":["unit"],"query_preference":1,"weight_select_ratio":20,"depth_penalty":50}
% 0.18/0.42
% 0.18/0.42
% 0.18/0.42 result: proof found
% 0.18/0.42 for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.18/0.42 by run 3 fork 2 strategy {"max_dseconds":1,"strategy":["unit"],"query_preference":0,"var_weight":1,"weight_select_ratio":100,"repeat_var_weight":1}
% 0.18/0.42 % SZS status Unsatisfiable for /export/starexec/sandbox/benchmark/theBenchmark.p
% 0.18/0.42
% 0.18/0.42 % SZS output start CNFRefutation for /export/starexec/sandbox/benchmark/theBenchmark.p
% See solution above
% 0.18/0.42
% 0.18/0.42 run 3 fork 2 statistics:
% 0.18/0.42 ----------------------------------
% 0.18/0.42 this run seconds: 0.026047
% 0.18/0.42 total seconds: 0.052450
% 0.18/0.42 stat_given_used: 68
% 0.18/0.42 stat_given_used_at_endgame: 0
% 0.18/0.42 stat_given_candidates: 314
% 0.18/0.42 stat_given_candidates_at_endgame: 0
% 0.18/0.42 stat_given_candidates_h: 0
% 0.18/0.42 stat_binres_derived_cl: 0
% 0.18/0.42 stat_binres_derived_cl_h: 0
% 0.18/0.42 stat_factor_derived_cl: 0
% 0.18/0.42 stat_para_derived_cl: 2638
% 0.18/0.42 stat_tautologies_discarded: 0
% 0.18/0.42 stat_forward_subsumed: 208
% 0.18/0.42 stat_derived_cut: 1
% 0.18/0.42 stat_derived_rewritten: 21
% 0.18/0.42 stat_weight_discarded_building: 0
% 0.18/0.42 stat_weight_discarded_cl: 0
% 0.18/0.42 stat_internlimit_discarded_cl: 0
% 0.18/0.42 stat_simplified: 21 simplified 0 derived 0 given
% 0.18/0.42 stat_kept_cl: 2273
% 0.18/0.42 stat_built_cl: 2430
% 0.18/0.42 stat_hyperres_partial_cl: 0
% 0.18/0.42 stat_made_rewriters: 67
% 0.18/0.42 stat_backward_subsumed: 0
% 0.18/0.42 stat_propagated_subsumed: 0
% 0.18/0.42 stat_clsubs_attempted: 163
% 0.18/0.42 stat_clsubs_fact_groundunit_found: 0
% 0.18/0.42 stat_clsubs_rule_groundunit_found: 0
% 0.18/0.42 stat_clsubs_top_meta_attempted: 1965
% 0.18/0.42 stat_clsubs_top_meta_failed: 1802
% 0.18/0.42 stat_clsubs_top_meta_nonpref_attempted: 1965
% 0.18/0.42 stat_clsubs_top_meta_nonpref_succeeded: 665
% 0.18/0.42 stat_clsubs_top_meta_pref_attempted: 665
% 0.18/0.42 stat_clsubs_top_meta_pref1_succeeded: 665
% 0.18/0.42 stat_clsubs_top_meta_pref2_succeeded: 225
% 0.18/0.42 stat_clsubs_top_meta_pref3_succeeded: 163
% 0.18/0.42 stat_clsubs_top_meta_pref_succeeded: 163
% 0.18/0.42 stat_clsubs_meta_attempted: 163
% 0.18/0.42 stat_clsubs_meta_failed: 19
% 0.18/0.42 stat_clsubs_predsymbs_attempted: 0
% 0.18/0.42 stat_clsubs_unit_attempted: 163
% 0.18/0.42 stat_clsubs_full_attempted: 0
% 0.18/0.42 stat_forwardsubs_attempted: 2482
% 0.18/0.42 stat_lit_hash_added: 2285
% 0.18/0.42 stat_lit_hash_computed: 4842
% 0.18/0.42 stat_lit_hash_match_found: 208
% 0.18/0.42 stat_lit_hash_match_miss: 4644
% 0.18/0.42 stat_lit_hash_cut_ok: 0
% 0.18/0.42 stat_lit_strong_cut_ok: 1
% 0.18/0.42 stat_lit_hash_subsume_ok: 208
% 0.18/0.42 clqueue els 10000000 used 1
% 0.18/0.42 clactive els 10000000 used 69
% 0.18/0.42 clactivesubsume els 10000000 used 367
% 0.18/0.42 queue_termbuf els 200000000 used 172566
% 0.18/0.42 hyper_termbuf els 100000000 used 1
% 0.18/0.42 active_termbuf els 100000000 used 2917
% 0.18/0.42 varstack els 5000 last used 1
% 0.18/0.42 given_termbuf els 10000000 last used 1
% 0.18/0.42 simplified_termbuf els 10000000 last used 1
% 0.18/0.42 derived_termbuf els 10000000 last used 35
% 0.18/0.42 wr_mallocs: 9426
% 0.18/0.42 wr_callocs: 21
% 0.18/0.42 wr_reallocs: 297
% 0.18/0.42 wr_frees: 2
% 0.18/0.42 wr_malloc_bytes: 4162913380
% 0.18/0.42 wr_calloc_bytes: 112065536
% 0.18/0.42 wr_realloc_bytes: 66136
% 0.18/0.42 wr_realloc_freebytes: 0
% 0.18/0.42 ----------------------------------
%------------------------------------------------------------------------------